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DialogLab: Authoring, Simulating, and Testing Dynamic Human-AI Group Conversations

on YouTube 14m
Talkat UIST 2025 · 2025-09-28..10-01· [ai-assisted-development]

speakers

name:Erzhen Hu
links:none on file
name:Yanhe Chen
links:none on file
name:Mingyi Li
links:none on file
name:Vrushank Phadnis
links:none on file
name:Pingmei Xu
links:none on file
name:Xun Qian
links:none on file
name:Alex Olwal
links:none on file
name:David Kim
links:none on file
name:Seongkook Heo
links:none on file
name:Ruofei Du
links:none on file

resources

video:https://youtu.be/c-Dv7-xS1zk
slides:none on file

summary

DialogLab is a prototyping toolkit that lets designers build multi-party human‑AI scenes with drag‑and‑drop avatars, attach content, and configure free and moderated party modes plus intra‑party speaking rules; it simulates flow with snippet-based phases and connects snippets into non‑linear transitions. Designers run live replays or a simulated human mode with editable suggestions to stress‑test interruptions and topic shifts, then export logs for exportable verification with turn‑distribution visuals. An evaluation with end users and domain experts shows faster iteration and more structured verification, and the code is being open sourced.

AI-written summary · about

chapters (7)

  1. 0:00Introduction and motivation
  2. 2:58Challenges in multi-party conversations
  3. 4:02Authoring group dynamics
  4. 7:58Conversation flow dynamics
  5. 9:46Testing and simulating conversations
  6. 10:50Applications and future work
  7. 11:52Conclusion and Q&A

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